Hermite.integ()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Hermite Module, “Physicists’”

Hermite.integ(m=1, k=[], lbnd=None)

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numpy.interp()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.interp(x, xp, fp, left=None, right=None, period=None)

2025-01-10 15:47:30
numpy.putmask()
  • References/Python/NumPy/Routines/Indexing routines

numpy.putmask(a, mask, values) Changes elements of an array based on conditional and input values. Sets a.flat[n]

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numpy.partition()
  • References/Python/NumPy/Routines/Sorting, searching, and counting

numpy.partition(a, kth, axis=-1, kind='introselect', order=None)

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numpy.can_cast()
  • References/Python/NumPy/Routines/Data type routines

numpy.can_cast(from, totype, casting = 'safe') Returns True if cast between data types can occur according to the casting rule

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numpy.roots()
  • References/Python/NumPy/Routines/Polynomials/Poly1d

numpy.roots(p)

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numpy.testing.rundocs()
  • References/Python/NumPy/Routines/Test Support

numpy.testing.rundocs(filename=None, raise_on_error=True)

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numpy.testing.assert_array_almost_equal_nulp()
  • References/Python/NumPy/Routines/Test Support

numpy.testing.assert_array_almost_equal_nulp(x, y, nulp=1)

2025-01-10 15:47:30
numpy.bitwise_and()
  • References/Python/NumPy/Routines/Binary operations

numpy.bitwise_and(x1, x2[, out]) = Compute the bit-wise AND of two arrays element-wise. Computes the bit-wise AND of

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numpy.array_split()
  • References/Python/NumPy/Routines/Array manipulation routines

numpy.array_split(ary, indices_or_sections, axis=0)

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